Skip to content

Latest commit

 

History

History
118 lines (87 loc) · 5.71 KB

File metadata and controls

118 lines (87 loc) · 5.71 KB

Echo Loop — Guardrails and Fix Pattern

🧭 Quick Return to Map

You are in a sub-page of Multimodal_LongContext.
To reorient, go back here:

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

When multimodal systems run across long contexts, sometimes the same visual, caption, or audio snippet gets echoed back repeatedly instead of advancing reasoning.
This creates “semantic stutter” where the model hallucinates progress but actually cycles on stale content.


Symptoms of Echo Loop

  • Captions or transcripts repeated across multiple turns without update.
  • Visual or audio reference echoed verbatim despite new input.
  • Model appears to “stall” on the same anchor, ignoring user’s next steps.
  • ΔS values stay flat across paraphrases, indicating semantic freeze.
  • Users perceive output as verbose filler with no new reasoning.

Open these first


Fix in 60 seconds

  1. Detect stutter

    • If identical snippet ID repeats >2 times without anchor update, flag echo-loop.
    • Log ΔS and λ across three turns; flat line = freeze.
  2. Force anchor refresh

    • Require anchor_rev++ with each new modality.
    • If missing, insert continuity token mod_refresh.
  3. Break the loop

    • Clamp with BBAM to suppress repeated variance.
    • Insert BBCR bridge node to force new semantic branch.
  4. Audit citations

    • Require unique snippet IDs in each new step.
    • If repeated without anchor shift, reject and re-request content.

Acceptance Targets

  • ΔS(question, retrieved) ≤ 0.45, with downward slope across steps.
  • No modality snippet echoed more than twice consecutively.
  • λ_observe convergent across three paraphrases.
  • Anchor IDs strictly monotonic (anchor_rev increments).

Copy-paste prompt

You are running TXTOS + WFGY Problem Map.

Symptom: repeated captions or snippets, model is “stuck in loop.”

Protocol:
1. Detect repeats >2 turns → flag echo-loop.
2. Require anchor_rev increment per modality.
3. Insert mod_refresh token if anchor missing.
4. Apply BBAM clamp and BBCR bridge to break loop.
5. Verify ΔS downward trend across turns.

🔗 Quick-Start Downloads (60 sec)

Tool Link 3-Step Setup
WFGY 1.0 PDF Engine Paper 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS) TXTOS.txt 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

Explore More

Layer Page What it’s for
⭐ Proof WFGY Recognition Map External citations, integrations, and ecosystem proof
⚙️ Engine WFGY 1.0 Original PDF tension engine and early logic sketch (legacy reference)
⚙️ Engine WFGY 2.0 Production tension kernel for RAG and agent systems
⚙️ Engine WFGY 3.0 TXT based Singularity tension engine (131 S class set)
🗺️ Map Problem Map 1.0 Flagship 16 problem RAG failure taxonomy and fix map
🗺️ Map Problem Map 2.0 Global Debug Card for RAG and agent pipeline diagnosis
🗺️ Map Problem Map 3.0 Global AI troubleshooting atlas and failure pattern map
🧰 App TXT OS .txt semantic OS with fast bootstrap
🧰 App Blah Blah Blah Abstract and paradox Q&A built on TXT OS
🧰 App Blur Blur Blur Text to image generation with semantic control
🏡 Onboarding Starter Village Guided entry point for new users

If this repository helped, starring it improves discovery so more builders can find the docs and tools.
GitHub Repo stars